Solutions Engineer

Solutions Engineer

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
LexisNexis Risk Solutions Group

At a Glance

  • Tasks: Support clients with data platforms and analytics solutions to optimise their resources.
  • Company: ICIS, a leader in commodity intelligence and market transparency.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Be part of a dynamic team pioneering AI-driven solutions in the commodities sector.
  • Why this job: Join a mission-driven team making a real impact on global resource management.
  • Qualifications: Experience in data analysis and strong problem-solving skills.

The predicted salary is between 63000 - 77000 £ per year.

Location: London (The Wall) – Hybrid (min. 2 days per week in-office)

About our Business: At ICIS, our mission is to optimize the world's resources. We help companies make strategic, sustainable decisions by bringing transparency to markets across the world. We create a comprehensive view of commodities markets, providing companies with the data and intelligence to successfully navigate across global value chains every day. Our customers benefit from instant access to price assessments, reports and forecasts, a dedicated news channel and supply and demand data.

The commodities industries that power the global economy impact every person on the planet, every single day. From the chemicals used to purify our water to the fertilisers that ensure global food security, the global supply chain relies on the intelligence we provide.

At ICIS, our mission is to deliver clarity, however and wherever customers need it. Energy and chemical markets move fast, and volatility is constant. We provide the transparent forecasting, pricing benchmarks, and analytical foresight that allow our customers to plan confidently and create value. We are currently pioneering AI-driven commodity intelligence with Ask ICIS, our specialist GenAI solution.

As the industry moves toward automated workflows, we are committed to learning alongside our customers. We want to ensure our intelligence is the reliable foundation for the next generation of AI Agents and decision-engines, evolving our delivery to match the architectures our customers are heading towards.

About the team: Part of a growing Solutions Engineering team, you will work alongside

Solutions Engineer employer: LexisNexis Risk Solutions Group

At Cirium, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. As a Client Engagement & Transition Manager, you'll have the unique opportunity to shape a new team while leveraging cutting-edge technologies like AI and automation to enhance customer experiences. With a strong commitment to employee growth and well-being, we provide tailored benefits and a supportive environment that empowers you to thrive in your career.

LexisNexis Risk Solutions Group

Contact Details:

LexisNexis Risk Solutions Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Solutions Engineer

Get Involved in Data Science Meetups

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like LexisNexis Risk Solutions Group.

Apply Directly through Our Website

When you find a suitable opening like Solutions Engineer at LexisNexis Risk Solutions Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Solutions Engineer

Data Analysis
AI-driven Solutions
Analytical Skills
Communication Skills
Project Management
Technical Aptitude
Understanding of Commodity Markets

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at LexisNexis Risk Solutions Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at LexisNexis Risk Solutions Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at LexisNexis Risk Solutions Group

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

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Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.